Automatically assigned DDC number: 00637

Manually assigned DDC number: 00637

Title: Corner Detection with Covariance Propagation

Author:

Author:

Subject: Qiang Ji,Robert M. Haralick Corner Detection with Covariance Propagation

Description: This paper presents a statistical approach for detecting corners from chain encoded digital arcs. An arc point is declared as a corner if the estimated parameters of the two fitted lines of the two arc segments immediately to the right and left of the arc point are statistically significantly different. The corner detection algorithm consists of two steps: corner detection and optimization. While corner detection involves statistically identifying the most likely corner points along an arc sequence, corner optimization deals with improving the locational errors of the detected corners. The major contributions of this research include developing a method for analytically estimating the covariance matrix of the fitted line parameters and developing a hypothesis test statistic to statistically test the difference between the parameters of two fitted lines. Performance evaluation study showed that the algorithm is robust and accurate for complex images. It has an average misdetection rate ...

Contributor: The Pennsylvania State University CiteSeer Archives

Publisher: unknown

Date: 1997-08-05

Pubyear: 1997

Format: ps

Identifier: http://citeseer.ist.psu.edu/140405.html

Source: http://george.ee.washington.edu/publications/subjects/../conferences/CVPR97-1/cvpr_final.ps

Language: en

Rights: unrestricted